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Data Analyst in Winnipeg, MB

Data Analyst Job Description

This role focuses on insights from technical data to support decision-making and improve technology and business operations. The data analyst also analyzes vast datasets, identifies trends, and communicates findings to technical and non-technical audiences.

Typical data analyst duties:

Collaborate with IT and engineering teams to identify and access relevant data sources (e.g., databases, logs, application metrics). Ensure data quality and accuracy through cleaning, validation, and normalization techniques. Utilize statistical methods, data visualization tools (e.g., dashboards, charts) to analyze and interpret data for storytelling. Generate reports and presentations that effectively communicate insights to technical and non-technical stakeholders.

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Salary for Data Analyst in Winnipeg, MB
72765 - 109515
Low
72765
The candidate is new to the role or has limited experience and is building necessary skills.
Mid
87710
The candidate has moderate experience in the role, meets most requirements or has equivalent transferrable skills, and may also have relevant certifications.
High
109515
The candidate has extensive experience and advanced skills for the role, and may also have specialized certifications.
Projected salaries for related positions Job title Low Mid High Data Architect 109515 142590 172970 Data Engineer 117845 140140 165620 Data Warehouse Analyst 81095 100450 127400 Database Manager 102410 131565 155575 Database Developer 98980 112455 135975 Database Administrator 75215 93345 119070 Business Intelligence Developer 81585 102410 122745 IT Business Intelligence Analyst 73255 92610 112945

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Our starting salary projections come from a rigorous, multistep process so that our numbers accurately reflect the marketplace. They are based on actual compensation for professionals Robert Half has matched with employers across the country and third-party job posting data from Textkernel that we use to independently validate the salary levels. Starting compensation—pay for someone new to a role—can vary significantly based on a candidate’s skills, experience and certifications, as well as other factors including industry, company size and revenue, and demand for the role. To reflect this variability, we report our salary data in three levels: low, mid and high.